Reduction of noise of large amplitude through adaptive neighbourhoods

Abstract

We propose a noise reduction algorithm based on adaptive neighbourhood selection able to obtain high levels of noise reduction for chaotic vector time series corrupted by observational noises with a noise to signal ratio of up to 300%.